Research on English semantic intelligence analysis method based on deep learning

Abstract

Semantic analysis of sentences is the research basis of automatic scoring of subjective questions in English examination, English machine translation, English automatic response, automatic acquisition of English article abstracts and so on. The research on English strong thematic structure (the so-called "split sentence") first includes yesperson’s "shift analysis" and "insertion analysis", followed by Halliday’s "syntactic analysis", "theme Rheme Structure Analysis" and "participant role analysis" And other methods. The intelligent algorithm of sentence component oriented English semantic analysis can not only reduce the workload of teachers, but also avoid the inconsistent scores of students' subjective questions caused by different teachers' subjective cognition; With the continuous improvement of regular expressions and vocabulary databases of English vocabulary and grammar, the algorithm will be trusted by more and more teachers. This paper adopts the method of deep learning. Simply emphasizing shallow learning of knowledge can no longer meet the requirements of modern society for knowledge. Deep learning is a method based on the understanding of knowledge, aimed at enhancing students' problem-solving and knowledge transfer abilities.